Abstract (EN):
The problem of embedding sensor fault tolerance in the control of neuromuscular blockade of patients subject to anesthesia for surgery is considered. A hidden Markov model whose state, assumed unavailable for direct observation, is estimated using a nonlinear filtering algorithm (special case of Baum's algorithm), is proposed for detecting the faults. The resulting algorithm is illustrated by simulations with realistic models of neuromuscular blockade. © 2007 EUCA.
Language:
English
Type (Professor's evaluation):
Scientific